Machine Learning Engineer - Allegro Pay

Our requirements

• Graduated with a degree in Computer Science, Mathematics or another technical major.
• Have at least 2 years of experience in building ML-driven solutions.
• Fluently program in Python, know libraries from the MLE’s toolchain (scikit-learn, PyTorch, Pandas, FastAPI/Flask) and use development tools with ease.
• Are comfortable and efficient with AI assisted programming tools (Opencode, Codex, Claude).
• Have some experience with modern Python-based orchestration tools (Airflow, Dagster).
• Have good analytical skills and know SQL.
• Know and apply the DevOps principles in their work.
• Understand statistical and machine learning methods, especially algorithms based on decision trees and neural networks, on a practical level.
• Are able to make independent decisions within the scope of their responsibilities and take ownership of the code they created.

Optional

• Experience with the .NET ecosystem.
• Knowledge of cloud-based MLOps tools (AzureML, Google Vertex AI, AWS Sagemaker).
• Experience with modern SQL-based data transformation frameworks - dbt.

Your responsibilities

• Developing a modern MLOps ecosystem aimed at automating the process of building and deploying machine learning models.
• Designing and implementing a modern platform for training predictive models (classifiers, deep neural networks, graph models).
• Deploying models to production and optimising deployment pipelines, to enable Data Scientists’ self-service.
• Managing, monitoring, and recalibrate models deployed to production.
• Supporting work on our Feature Store - an application providing predictors for models operating in production.
• Finding synergies and building connectors with FinTech AI platform, enabling agentic workflows to interact with our models and features.

About the project

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

What we offer

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Annual bonus based on your annual performance and company results (up to 10% of the gross annual salary depending on your end-year assessment).
• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
• A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
• English classes that we pay for related to the specific nature of your job.
• A training budget, inter-team tourism, hackathons, and an internal learning platform where you will find multiple trainings.
• An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits